import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randn(100,4), columns='A B C D'.split())
df

	A	B	C	D
0	1.170542	-0.184875	-0.643061	-1.379101
1	-0.096577	-0.635978	-1.554344	0.861976
2	-0.984939	-0.159547	1.835211	-0.317262
3	0.512716	-0.258028	0.964751	-0.319704
4	0.244085	0.240252	-1.274009	0.240665
...	...	...	...	...
95	-0.463356	-0.101590	0.463344	-1.797261
96	-0.598743	-0.689872	-0.963679	-0.695628
97	0.989474	0.290268	0.654706	0.955898
98	0.133545	-0.009438	-0.609282	0.621020
99	-0.645213	-0.585931	-1.579337	1.069358

100 rows × 4 columns

df.plot();

## for the requires JS bug when exporting to HTML
# import plotly.io as pio
# pio.renderers.default='notebook'

import plotly.express as px

# fig = px.bar(x=["a", "b", "c"], y=[1, 3, 2])
# fig

fig = px.scatter(df)
fig

import hvplot.pandas
import holoviews as hv

df.hvplot(kind="scatter")